Join our team as a Senior Data Engineer and leverage your 5-8 years of experience in the Software Development domain. This role focuses on designing, implementing, and maintaining robust data architectures and pipelines. You will play a key part in ensuring data accuracy and availability for critical analytics and reporting initiatives.

This position requires a strong command of SQL, including advanced query writing, performance optimization, and data manipulation. A solid grasp of data architecture and modeling principles is essential for building efficient data flows that cater to diverse analytical needs.

Develop and maintain data pipelines, ensuring seamless data integration from various sources. Design and implement scalable data architecture and data models. Write complex SQL queries for data extraction, transformation, and analysis. Optimize data pipeline performance and troubleshoot data-related issues. Collaborate with cross-functional teams to understand data requirements and deliver solutions.

A Master of Technology (M.Tech) in Data Science or Data Engineering, or a Bachelor of Technology (B.Tech) in Computer Science or Information Technology is required. Demonstrated advanced skills in SQL, including complex query writing, performance tuning, and data manipulation. Strong understanding of data architecture, data modeling, and ETL processes. Familiarity with ETL tools and frameworks is essential. Experience with version control systems like Git is beneficial.